Run
278103

Run 278103

Task 4264 (Supervised Classification) confidence Uploaded 07-03-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ExtraTree(1)Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
weka.ExtraTree(1)_K-1
weka.ExtraTree(1)_N-1
weka.ExtraTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.89
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8175
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.78
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
574.5683
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0611
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2778
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
720
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8196
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8167
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8167
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.22
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2472
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6633
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1360.2771